FakeCatcher Description
FakeCatcher, a deepfake detector developed by Intel, analyzes the "blood flow" of video pixels to determine authenticity in milliseconds. Detection integrated into editing software used by broadcasters and content creators. As part of the screening process for user-generated content, detection is used. A common platform allows anyone to confirm the authenticity a video. Deepfakes can be synthetic videos, audio clips, or images where the actor, or the action performed by the actor, is not real. Most deep learning-based detectors use raw data to identify signs of inauthenticity. FakeCatcher, on the other hand, looks for authentic clues within real videos by analyzing what makes us humans -- subtle "blood flow" pixels in a video. Our veins change colour when our hearts pump blood.
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